GTM Growth AI Engineer — Production Systems

OpenAI; San Francisco (CA); On-site; USD 230,000 - 385,000; Full time

Job summary

OpenAI is seeking an Applied AI Engineer to build production systems that improve AI-powered go-to-market workflows. You will connect agent behavior, feedback, evaluation, experimentation, and business outcomes to make these systems more effective and reliable.

This deeply technical, cross-functional role owns the agent improvement loop, from understanding production behavior to validating impact and scaling safe, measurable improvements.

Qualifications

• 4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems.
• Experience building AI agents, LLM-powered applications, or other model-driven workflows with real production traffic.
• Experience diagnosing and improving agent behavior using production traces, feedback, evaluation, experimentation, or careful systems design.
• Practical experience with evaluation design, regression testing, human or model grading, online quality signals, or controlled experiments.
• Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services.
• Strong product judgment and the ability to connect technical changes to customer experience, conversion, qualified pipeline, or operational efficiency.
• Comfort working across model behavior, context, knowledge, tools, workflow state, and human-in-the-loop decisions.
• Ability to work with technical and non-technical partners across Engineering, Product, Data Science, Sales, and B2B Marketing.

Responsibilities

• Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes.
• Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context.
• Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows.
• Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design.
• Design and ship targeted behavior improvements, including changes to prompting, context construction, decision logic, tool use, and human-review paths.
• Build backend services, APIs, data models, and feedback pipelines that make agent behavior observable, steerable, and reproducible.
• Run controlled experiments, production replays, or staged rollouts to measure whether changes improve quality and downstream business results.
• Partner with Product, Data Science, Sales, and B2B Marketing to prioritize high-value problems and define customer and business success.
• Ship with appropriate safeguards for privacy, security, reliability, human oversight, and safe operational rollout.

Skills

Production systems

AI agents / model-driven workflows

Agent behavior diagnosis

Evaluation design

Python APIs data pipelines

Customer impact & metrics

Cross-functional collaboration

Safety & human oversight

Job description

OpenAI is seeking an Applied AI Engineer to build production systems that improve AI-powered go-to-market workflows. You will connect agent behavior, feedback, evaluation, experimentation, and business outcomes to make these systems more effective and reliable.

This deeply technical, cross-functional role owns the agent improvement loop, from understanding production behavior to validating impact and scaling safe, measurable improvements.